AI Engineer Intern - Fury Team (Summer 2027)

Sunnyvale, CAinternshipOn Site

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entry

$94k–$135k

H1B: no

Scout AI The AI Engineer Intern at Scout AI will work on prototyping and testing multimodal models for robotic platforms in complex environments. The role involves supporting design, training, and evaluation of VLA models and collaborating on AI model integration and real-time performance tuning.

Responsibilities

We’re seeking an AI Engineer Intern for Summer 2027 who is passionate about machine learning, robotics, and the future of autonomous systems. As part of the Fury Team, you'll work alongside leading AI and robotics engineers to prototype and test cutting-edge multimodal models that will become the cognitive engine of our robotic platforms. Your work will run on robots in complex, adversarial environments. Expect to move fast, test ideas aggressively, and break new ground as we create the first robotic foundation model for defense.
This 10-week internship is ideal for students looking to apply their research and engineering skills to high-stakes, real-world applications. You’ll gain exposure to the full AI stack, from perception to control, and work on models that run in real world environments.
Support the design, training, and evaluation of state-of-the-art VLA models for robotic systems
Help develop and test scalable ML architectures for perception, robotic actuation, multi-agent coordination, and multi-step reasoning
Build model experimentation and evaluation pipelines, utilizing synthetic data gen, simulation, and benchmarking environments
Translate research insights into code, experiments, and tests for embodied agents
Collaborate with mentors and team members on AI model integration and realtime performance tuning
Participate in and help plan data collection and model testing on real robotic hardware and simulation platforms
Track, digest, and incorporate breakthroughs from the latest literature in VLMs, RL, CV, and autonomous agents
Support field trials and mission operations to validate model performance under real-world constraints

Qualification

Currently pursuing a BSStrong programming skills in PythonBonusMust be a USee your work deployed on real systems

Required

Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, AI, or a related field
Strong programming skills in Python, and experience with PyTorch or TensorFlow or JAX
Familiarity with deep learning application to at least one of: control policies, visual understanding, language modeling, or reinforcement learning
Comfortable navigating open-ended problems and proposing technical solutions
Bonus: Experience with robotics or real-time systems
Bonus: Experience training models on large-scale compute resources
Must be a U.S. Person due to required access to U.S. export controlled information or facilities
Work on the world’s most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines
Be a core part of a team building the first defense-specific robotic foundation model
Collaborate with some of the top engineers in autonomy, AI, and national security
See your work deployed on real systems
Help define the future of intelligent defense systems

Preferred

Experience with robotics or real-time systems
Experience training models on large-scale compute resources

Company

Scout AI

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Source: ashby

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PythonPyTorchTensorFlowJAXmachine learningrobotics

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AI Engineer Intern - Fury Team (Summer 2027) at Scout AI · LumiJobs